공공건축 설계 공모 심사의 인간–AI 협업 통합운영 가능성 연구

초록

This study reframes artificial intelligence (AI) not as a replacement for human judgment, but as a collaborative support system in publicarchitectural design competitions. To address procedural opacity and cognitive bias in existing evaluation systems, a data-driven andrecord-centered framework for Human-AI collaboration is proposed. Drawing on insights from behavioral decision research and contemporaryAI governance frameworks, the study develops a process model that includes data quality management, visualization of evaluative reasoning,the controlled integration of multimodal indicators, and lifecycle risk management procedures. International frameworks, including the EuropeanUnion AI Act, the National Institute of Standards and Technology AI Risk Management Framework, and the Organisation for EconomicCo-operation and Development AI Principles, are referenced to ensure legal, ethical, and institutional coherence. Rather than claimingempirical performance gains, the proposed model aims to strengthen procedural fairness by structuring evidence, improving transparency, andreinforcing institutional trust in public architectural design competitions. Ultimately, AI is positioned not as an autonomous decision-maker, butas an institutional mechanism that enhances procedural fairness in architectural evaluation.

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